tomvanbussel commented on pull request #29785:
URL: https://github.com/apache/spark/pull/29785#issuecomment-698836144


   @cloud-fan I don't really see a way to simply this without making invasive 
changes to memory management in Spark. For instance we could simplify this if 
we had some way to reserve memory up front. That seems like a lot of work 
though, so for now I have tried to keep it understand by adding lots of 
comments.


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